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To-be Listed (Grey Market Trading Session: 16:15-18:30)
Name
/
Code
Industry Listing Price Lot Size Entry Fee Phillip Grey Market Futu (HK) Grey Market
Distinct Healthcare
02677.HK
Grey Market Today
Health Care Services Pending 50 3,363.58
-
-
Detail Quote
Muyuan Foods
02714.HK
Grey Market Today
Poultry, Meat and Seafood 39.000 100 3,939.34
-
-
Detail Quote
Han's CNC
03200.HK
Grey Market Today
Printed Circuit Boards 95.800 100 9,676.61
-
-
Detail Quote
Last update: 2026-02-05 12:30:07
Name
/
Code
Industry Offer Price Lot Size Entry Fee Closing Date
Grey Market Date
Listing Date
Montage Tech
06809.HK
Semiconductors & Semiconductor Equipment N/A 100 10,796.80 2026/02/04 2026/02/06 2026/02/09
Axera
00600.HK
Semiconductors & Semiconductor Equipment 28.2 100 2,848.44 2026/02/05 2026/02/09 2026/02/10
Ridge Outdoor
02720.HK
Leisure Products 11.25-12.25 500 6,186.78 2026/02/05 2026/02/09 2026/02/10
Wuxi Lead
00470.HK
Advanced hardware and software N/A 100 4,626.19 2026/02/06 2026/02/10 2026/02/11
Haizhi Tech Group
02706.HK
Advanced hardware and software 25.6-28 200 5,656.48 2026/02/10 2026/02/12 2026/02/13
Woer Heat-Shrinkable
09981.HK
Electrical Components & Equipment N/A 200 4,058.53 2026/02/10 2026/02/12 2026/02/13
Summary
We are a leading company in China that develops Atlas graph solutions and industry-level intelligent agents by integrating knowledge graphs and LLMs and offers industry-level AI solutions. Knowledge graphs are graph-structured data model that represents information as a network of interconnected entities, their relationships and attributes, and LLMs are AI models trained on vast amounts of text data with self-supervised machine learning for natural language processing tasks, such as language generation. Atlas graph solutions are one of our core offerings during the Track Record Period. Built on our industry-leading graph computing and data analysis capabilities, Atlas graph solutions consist of our DMC intelligent data platform, Atlas knowledge graph platform and AtlasGraph graph database. These solutions enable enterprises to efficiently integrate, process and manage data from multiple sources, construct and analyze knowledge graphs, and perform complex relationship mining and visual analytics.

Atlas AI agent, developed based on our graph-LLM integration technology, empowers enterprises to achieve intelligent automation, scenario-specific reasoning, and natural language interaction by combining the reasoning capabilities of LLMs with the accuracy and interpretability of knowledge graphs. The following illustrates the typical use cases of our solutions respectively:

‧ DMC intelligent data platform: Enabled a provincial Market Supervision and Administration in China to integrate data from diverse sources with different structures, achieving unified data management and improved regulatory efficiency.

‧ Atlas knowledge graph platform: Empowered a Shenzhen-based financial institution to build knowledge graphs based on users, entities and their relationships, allowing automatic detection of fraudulent loan applications and complex fraud rings through preconfigured rules.

‧ AtlasGraph graph database: Supported a Beijing-based telecommunication operator in storing and computing graph data, providing a solid foundation for identifying suspicious patterns and precisely locating phone numbers potentially involved in telecom fraud.

‧ Atlas AI Agent: Delivered to a municipal government body a customized agent capable of multiround interaction, deep reasoning and dynamic integration with knowledge graphs, autonomously orchestrating multiple LLMs and APIs to handle multimodal inputs, enabling data search and data lineage tracking for enhanced data analysis efficiency.

According to Frost & Sullivan, in terms of revenue in 2024, we ranked fifth among industry-level AI agent providers in China with a market share of 2.8% and first among graph-based AI agent providers in China with a market share of approximately 50%. According to Frost & Sullivan, we are the first company in the industry to successfully mitigate hallucination in LLMs, a phenomenon where AI models generate outputs that are incorrect, nonsensical or factually inaccurate despite the output appearing coherent and plausible, through knowledge graphs in China. A company that can establish core competitiveness and technological barriers in the three dimensions of fact accuracy, hallucination rate, and complex logical reasoning ability can successfully mitigate hallucination in LLMs. In the dimension of fact accuracy, it can ensure high reliability of the facts output; in the dimension of hallucination rate, the proportion of content that is either unverifiable or verified as incorrect is lower; in the dimension of complex logical reasoning ability, the probability that the model generates hallucinations such as logical breaks or fabricated reasoning chains during in-depth deduction is lower. Our expertise in constructing knowledge graphs for, and the accumulated experience from various application scenarios and the controlled and validated dataset provided by our customers have enabled us to make this breakthrough of mitigating hallucinations in AI systems. This breakthrough has enabled us to develop intelligent agents and provide AI solutions for enterprises. Leveraging the powerful reasoning and planning capabilities of LLMs, combined with the accuracy and interpretability of knowledge graphs as well as our expertise and deployment capacities, we effectively accommodate the needs of enterprises with our intelligent agents and AI solutions, which has led to our Business growth during the Track Record Period. Our revenue increased from RMB313.0 million in 2022 to RMB503.1 million in 2024, representing a CAGR of 26.8%, and our revenue from Atlas AI agent increased by 872.2% from RMB8.9 million in 2023 to RMB86.6 million in 2024.

The advancement of AI technologies, particularly LLMs, has revolutionized AI applications in our everyday lives. Despite this, common issues such as low accuracy and unexplainable outputs arising from hallucinations in LLMs have hindered the widespread adoption of industry-level AI applications. We deeply understand data intelligence, the construction of knowledge graphs and the significance of data accuracy and traceability for enterprise AI applications. Consequently, we have committed ourselves to addressing hallucinations in LLMs. In September 2023, we launched our Atlas AI agent, empowering precise reasoning of LLMs in industry-specific settings.

During the Track Record Period, we offered two solutions to our customers: (i) Atlas graph solutions that are built on our robust graph computing and data analysis capabilities, consisting of our DMC intelligent data platform, Atlas knowledge graph platform and AtlasGraph graph database; and (ii) Atlas AI agent, agentic solutions that are built on our graph-LLM integration technology. Our solutions has been applied in various application scenarios, such as fraud prevention, intelligent marketing, intelligent operations, risk identification, data governance and smart manufacturing. We are also expanding into new application scenarios to more comprehensively empower our customers’ overall operations and decision-making processes. As of September 30, 2025, we had collaborated with over 360 customers, covering over a hundred application scenarios.

We strategically focus on the parallel development of both Atlas graph solutions and Atlas AI agent. This dual focus enables us to capture growth opportunities across different stages of digital transformation and to provide comprehensive, synergistic solutions for our customers.

We believe that Atlas AI agent will not replace the demand for Atlas graph solutions. Atlas graph solutions serve as the data foundation for many enterprises and remain essential for high-quality, traceable data management and complex relationship analysis, even after the deployment of Atlas AI agent. Atlas AI agent delivers intelligent automation and scenario- specific execution. This dual focus enables us to address a wide range of customer needs and support both standardized and evolving business scenarios.



Source: Haizhi Tech Group (02706) Prospectus (IPO Date : 2026/02/05)
Listing Market MAIN
Industry Advanced hardware and software
Background Others
Major Business Area China
Corporate Information
No related information.
 
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